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The FDA updated its Guidance for Industry as it relates to validating methods for drugs and biologics.These methods include analytical procedures that test for identity, purity, potency, and stability of drug substances and drug products.
Clinical laboratories also must follow stricter procedures for accreditation and validation of test methods per current ISO requirements.
Selecting the right method to validate or if a method is ready for validation starts with the research lab or method development lab and data that support the decision to proceed. Tight timelines or inadequate method development data can lead to premature advancing of a method to validation.
Rushing into validation can lead to failed validation runs involving repeating assay runs. Excessive repeat rate during validation does not support the level of confidence expected for validated methods. Understanding the requirements for a method to be considered validated helps with the decision-making process to move from development to validation. Using Design of Experiments (DOE) can help collect a larger dataset using fewer assay runs to support the decision to move from development to validation.
More data points can support statistical analysis used to set acceptance criteria for the method during validation. Data from DOE can also help analysts understand the limits of the assay and which robustness parameters to confirm during validation.
Also, having a thorough understanding of regulatory agency expectations can prevent unnecessary problems with setting the acceptance criteria for bioanalytical methods.
This webinar will describe essential practices for bringing analytical methods from development through validation in laboratories supporting biologic products as well as qualification or validation of methods used in clinical laboratories.
The methods that are selected for each test condition must be developed with validation in mind. These methods should be rugged selective, and specific. Validated methods are also necessary to establish stability of large molecules.
The ability to detect differences in responses between the stable drug and partially degraded drug should be significant in the validated method. Any change that has a significant impact on potency or identity of the drug should be detected by stability-indicating validated methods.
Data analysis, data reporting, and training of analysts are key components in the method validation process.
Why should you Attend: Method validation guidance has become increasingly more consistent. Regulatory agency documents now offer firm guidance on expectations on assay method performance to meet the status as a validated method.Specific criteria for system suitability and acceptance criteria for validation parameters has evolved with input from Sponsors and laboratories performing testing. Yet, with the availability of solid guidance documents, some laboratory personnel may still struggle with completing validation of bioassay methods. A main concern is ruggedness of the method during active long-term use for analysis.Adopting solid principles for development and optimization of the method should result in an assay that is expected to meet ruggedness, precision, accuracy, selectivity, sensitivity, dilutional linearity, and specificity.
Although there is typically no set number of assay runs to complete development and optimization, collecting the most data with the minimum number of plates should be considered. However, the number of plates run should be sufficient to assess ruggedness prior to the formal validation. The validation should be designed to accomplish the purpose in a minimum number of runs.
When proper development is not performed and the decision to move into validation does not have enough supporting data, assay failure during validation can result. Failures of runs during validation can lead to interruption of the validation with subsequent additional method development required prior to entering validation again.
This is not just time-consuming with an impact on timelines but uses reagents, that may be critical, without producing usable data. This webinar is designed to walk attendees through steps to consider during method development that support the decision to proceed to validation.
Areas Covered in the Session: